RallyIQ

WTA · Right-handed · 6 charted matches · 2011–2015

Klara Koukalova

Against an average opponent

Serve points won 51.0% ±4.1 raw 46.0% · tour 56.3% · 365 points
Return points won 45.2% ±4.1 raw 45.4% · tour 43.7% · 377 points

Serve and return points won, refitted against every opponent at once so a record built on weak or strong opposition is put on the same scale. Career, all surfaces, with a 90% margin. Raw is the plain share of points won.

Shot expected value

The share of points Klara Koukalova goes on to win after each option in the positions they face most often, shrunk toward tour average when the sample is small. Showing the 8 most-used options; teal marks the best one with at least 30 shots.

Rally, shots 5–8: drive to your middle

position worth 50% to the average player · 139 shots

OptionUsedWin %Tour
FH crosscourt 31% 46.9%±10.3 52.7%
FH through the middle 21% 37.0%±11.3 45.8%
BH crosscourt 13% 42.6%±13.2 50.9%
FH down the line 12% 55.3%±13.4 52.2%
BH down the line 12% 67.6%±12.7 50.0%
BH through the middle 11% 37.8%±13.5 46.2%

Rally, shots 5–8: drive to your forehand side

position worth 43% to the average player · 120 shots

OptionUsedWin %Tour
FH crosscourt 54% 45.1%±8.9 46.7%
FH down the line 25% 44.0%±11.5 44.9%
FH through the middle 21% 38.4%±11.9 41.3%

Rally, shots 5–8: drive to your backhand side

position worth 45% to the average player · 114 shots

OptionUsedWin %Tour
BH crosscourt 49% 54.6%±9.4 47.6%
BH through the middle 24% 39.7%±11.7 43.3%
BH down the line 13% 41.0%±13.7 46.8%

Return +1: drive to your middle

position worth 50% to the average player · 98 shots

OptionUsedWin %Tour
FH crosscourt 36% 59.0%±10.9 52.3%
FH through the middle 22% 46.0%±12.7 46.5%
BH crosscourt 12% 41.1%±14.3 50.8%
FH down the line 11% 53.5%±14.7 53.0%

Serve under pressure

Pressure predictability index −5 How much less varied Klara Koukalova's first-serve direction gets on break points. Positive means easier to read. Based on 61 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 47% 35% ▼ 56% / 66%
Body 26% 35% ▲ 51% / 57%
T 27% 29% 50% / 68%

172 normal · 17 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 14% 14% 57% / 66%
Body 22% 27% 52% / 56%
T 64% 59% 65% / 64%

129 normal · 44 break-point 1st serves

Is the serve mix in equilibrium?

Game theory says a well-mixed server wins equally often with every direction they use. If one direction wins more, it's underused and points are being left behind. This is the minimax test Walker and Wooders ran on Wimbledon finals, applied to every charted first serve. Win rates include faults. "Optimal" allows for returners reading a habit. A direction loses 0.19 points per 100 serves for every 10 points of habitual usage, measured from WTA servers whose mix drifted between matches. Shifts stay within the range servers' habits actually vary, the only range that response was measured over.

Deuce court

1st serveUsagePoints won
Wide46% 41.8%±7.5 n=87
Body27% 45.4%±9.1 n=51
T27% 34.6%±8.7 n=51

Consistent with an optimal mix (p = 0.16).

Ad court

1st serveUsagePoints won
Wide14% 47.2%±11.2 n=24
Body23% 47.7%±9.8 n=40
T63% 55.0%±6.9 n=109

Consistent with an optimal mix (p = 0.28).

Repeating the previous direction to the same court: −2.5±6.3 points per 100 against switching. Negative means returners read repeats. Tour-wide, repeating costs women about 0.4 points per 100 and costs men nothing, so men's returners don't measurably anticipate direction. (139 repeats, 211 switches.)

Return by serve direction

Return points won against each serve direction, compared with the tour average.

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 26 38% −6.1±10.7
1stAd courtT 40 41% +5.4±9.7
1stAd courtWide 40 33% −1.1±9.3
1stDeuce courtBody 31 41% −2.0±10.3
1stDeuce courtT 36 31% −0.9±9.4
1stDeuce courtWide 59 37% +3.3±8.4
2ndAd courtBody 30 53% −2.5±10.6
2ndAd courtT 7 55% +0.4±13.4
2ndAd courtWide 35 63% +9.6±9.8
2ndDeuce courtBody 28 56% +1.3±10.7
2ndDeuce courtT 30 55% −1.3±10.6
2ndDeuce courtWide 13 58% +4.7±12.4

Signature patterns

Recurring sequences that win more than Klara Koukalova's own baseline, ranked by edge weighted by how often they're used.

Serve → +1

  1. Not enough data

Return

  1. Not enough data

Rally, consecutive own shots

  1. BH down the line → FH crosscourt used 8.8% · won 48% · +5.0±11.5 vs own baseline
  2. FH crosscourt → FH crosscourt used 12.8% · won 45% · +2.1±10.3 vs own baseline
  3. FH crosscourt → BH crosscourt used 11.2% · won 45% · +1.8±10.7 vs own baseline
  4. FH crosscourt → FH down the line used 10.8% · won 44% · +0.8±10.8 vs own baseline
  5. FH through the middle → FH crosscourt used 9.6% · won 42% · −0.5±11.1 vs own baseline

Discovered sequences

Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Klara Koukalova wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.

  1. BH down the line → FH crosscourt → FH crosscourt used 1.5% · won 49% · +6.6±13.1 vs own baseline · +12.1 vs tour on the same sequence Disrupted by Tsvetana Pironkova (4/8)
  2. FH crosscourt → FH down the line → BH crosscourt used 2.0% · won 46% · +3.4±12.2 vs own baseline · +0.2 vs tour on the same sequence Disrupted by Serena Williams (2/6), Tsvetana Pironkova (3/8)
  3. BH crosscourt → BH crosscourt → BH crosscourt used 1.9% · won 45% · +2.1±12.4 vs own baseline · −1.3 vs tour on the same sequence Disrupted by Tsvetana Pironkova (4/7)
  4. FH crosscourt → FH crosscourt → FH crosscourt used 2.9% · won 44% · +1.3±11.1 vs own baseline · −3.4 vs tour on the same sequence Disrupted by Tsvetana Pironkova (2/6), Jarmila Gajdosova (3/6)
  5. FH crosscourt → FH crosscourt → FH down the line used 2.0% · won 44% · +1.2±12.2 vs own baseline · −2.7 vs tour on the same sequence
  6. BH crosscourt → BH through the middle → FH crosscourt used 1.6% · won 36% · −6.8±12.4 vs own baseline · −28.9 vs tour on the same sequence

Strengths and vulnerabilities

Value per 100 shots compared with the average player hitting (strengths) or facing (vulnerabilities) the same shot. Only shot types seen at least 120 times.

Hurts opponents most with

FH to their forehand · rally−0.7161

Most exposed to

FH to their forehand · rally+0.5137

Active players who are best at the shot in the top weakness: Linda Fruhvirtova, Maja Chwalinska, Sara Sorribes Tormo, Linda Klimovicova, Nadia Podoroska

Charted matches